Pricing insurance premia: a top down approach
Eymen Errais ()
Additional contact information
Eymen Errais: University of Tunis, Tunis Business School
Annals of Operations Research, 2022, vol. 313, issue 2, No 14, 899-914
Abstract:
Abstract Insurance plays an important economic and social role through its ability to transfer risk. In this paper, we focus on the largest insurance sector, the automobile sector. We model automobile insurance premia through a top down approach. Our approach is appealing since it defines the dynamics of the aggregate loss in a consistent way, and also provides a coherent definition of the joint distribution of the total losses and the car insurance premium. We show how to make this top down approach computationally tractable by using the class of affine point processes, which are intensity-based jump processes driven by affine jump diffusions. An affine point process is sufficiently flexible to account for both country global infrastructure and driving behaviour. Further it allows for efficient computation and calibration of a large class of insurance products.
Keywords: Insurance; Car accidents; Stochastic modeling; Self exciting processes (search for similar items in EconPapers)
JEL-codes: G12 G13 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10479-019-03459-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:313:y:2022:i:2:d:10.1007_s10479-019-03459-w
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-019-03459-w
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().